Vallum Associates
AI Specialist with Copilot
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Specialist with Copilot, offering a contract length of "X months" and a pay rate of "$X per hour." Key skills include AI/ML expertise, cloud solutions (Azure, AWS, Google Cloud), data engineering, and strong stakeholder management.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
March 20, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Leeds, England, United Kingdom
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🧠 - Skills detailed
#Azure #AI (Artificial Intelligence) #Cloud #Data Engineering #Data Quality #Database Design #ML (Machine Learning) #Leadership #Security #Scala #AWS (Amazon Web Services) #Deployment
Role description
• Proven experience applying deep technical expertise across AI, ML, LLMs, agentic AI, and applied AI engineering, driving the design, evaluation, and governance of advanced AI solutions
• Proven experience designing, evaluating and governing multi-agent systems, incorporating memory structures, tool-use orchestration, planning algorithms and autonomy controls.
• Demonstrated ability to benchmark LLM performance, evaluate model choices, run structured behavioural testing and interpret model outputs to inform safe and effective deployment.
• Strong understanding of responsible AI principles, ethical risk, regulatory expectations, and mitigation strategies, and the ability to translate them into practical safeguards.
• Strong understanding of cloud-native AI solutions and proven experience delivering solutions on Azure, AWS and Google Cloud, ensuring alignment to enterprise standards, security controls and platform guardrails.
• Demonstrated ability to engineer and optimise RAG’s, including vector database design, embedding strategies, retrieval optimisation and advanced orchestration patterns for accuracy and reliability.
• Strong understanding of data engineering, governance, lineage, data quality and privacy frameworks, ensuring AI workloads are built on compliant, high-integrity data foundations.
• Proven experience designing secure, resilient and scalable AI, embedding security-by-design, operational guardrails and platform-level controls.
• Strong ability to challenge solution designs, model selections and vendor proposals, using evidence-based critique, benchmarking and review.
• Demonstrated ability to communicate complex AI, concepts in clear, concise terms for senior leaders, governance forums and non-technical stakeholders.
• Demonstrated ability to operate effectively in fast-changing, ambiguous technical environments, providing clear direction, informed judgement and architectural leadership.
• Proven experience mentoring uplifting AI capability and embedding repeatable best-practice patterns across teams.
• Excellent stakeholder management and communication skills, including senior-level engagement.
• Commercial awareness and a value-driven mindset.
• Use of professional networks and external influencers with clear evidence of learning and development to build and maintain skills and expertise.
• Proven experience applying deep technical expertise across AI, ML, LLMs, agentic AI, and applied AI engineering, driving the design, evaluation, and governance of advanced AI solutions
• Proven experience designing, evaluating and governing multi-agent systems, incorporating memory structures, tool-use orchestration, planning algorithms and autonomy controls.
• Demonstrated ability to benchmark LLM performance, evaluate model choices, run structured behavioural testing and interpret model outputs to inform safe and effective deployment.
• Strong understanding of responsible AI principles, ethical risk, regulatory expectations, and mitigation strategies, and the ability to translate them into practical safeguards.
• Strong understanding of cloud-native AI solutions and proven experience delivering solutions on Azure, AWS and Google Cloud, ensuring alignment to enterprise standards, security controls and platform guardrails.
• Demonstrated ability to engineer and optimise RAG’s, including vector database design, embedding strategies, retrieval optimisation and advanced orchestration patterns for accuracy and reliability.
• Strong understanding of data engineering, governance, lineage, data quality and privacy frameworks, ensuring AI workloads are built on compliant, high-integrity data foundations.
• Proven experience designing secure, resilient and scalable AI, embedding security-by-design, operational guardrails and platform-level controls.
• Strong ability to challenge solution designs, model selections and vendor proposals, using evidence-based critique, benchmarking and review.
• Demonstrated ability to communicate complex AI, concepts in clear, concise terms for senior leaders, governance forums and non-technical stakeholders.
• Demonstrated ability to operate effectively in fast-changing, ambiguous technical environments, providing clear direction, informed judgement and architectural leadership.
• Proven experience mentoring uplifting AI capability and embedding repeatable best-practice patterns across teams.
• Excellent stakeholder management and communication skills, including senior-level engagement.
• Commercial awareness and a value-driven mindset.
• Use of professional networks and external influencers with clear evidence of learning and development to build and maintain skills and expertise.
